Vehicle recognition system

ABSTRACT

A vehicle identification system may perform operations that include: receiving a scan request that includes an image that comprises image data; identifying one or more vehicles within the image based on the image data based on computer vision and object recognition; generating bounding boxes based on the identified vehicles; cropping the image based on one or more of the bounding boxes; classifying a vehicle depicted within the cropped image; and presenting a notification that includes a display of the classification of the vehicle at the client device.

RELATED APPLICATIONS

This application claims benefit of priority from U.S. Provisional PatentApplication Ser. No. 62/706,545, filed on Aug. 24, 2020.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to mobilecomputing technology and, more particularly, but not by way oflimitation, to systems and methods for object recognition.

BACKGROUND

Object recognition is a computer technology related to computer visionand image processing that deals with detecting instances of semanticobjects of a certain class in digital images and videos.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. To easily identifythe discussion of any particular element or act, the most significantdigit or digits in a reference number refer to the figure number inwhich that element is first introduced. Some embodiments are illustratedby way of example, and not limitation, in the figures of theaccompanying drawings in which:

FIG. 1 is a diagrammatic representation of a networked environment inwhich the present disclosure may be deployed, in accordance with someexamples.

FIG. 2 is a diagrammatic representation of a messaging system, inaccordance with some examples, that has both client-side and server-sidefunctionality.

FIG. 3 is a flowchart depicting a method 300 for generating and causingdisplay of a preview of a personalized media item, in accordance withone embodiment.

FIG. 4 is a flowchart depicting a method 400 for generating a preview ofa personalized media item, in accordance with one embodiment.

FIG. 5 is a flowchart depicting a method 500 for curating a collectionof media items, in accordance with one embodiment.

FIG. 6 is a flowchart depicting an interface flow diagram 600 forgenerating a preview of a personalized media item, in accordance withone embodiment.

FIG. 7 illustrates an interface flow diagram 700 in accordance with oneembodiment.

FIG. 8 is a diagrammatic representation of a machine in the form of acomputer system within which a set of instructions may be executed forcausing the machine to perform any one or more of the methodologiesdiscussed herein, in accordance with some examples.

FIG. 9 is a block diagram showing a software architecture within whichexamples may be implemented.

FIG. 10 is a diagrammatic representation of a processing environment, inaccordance with some examples.

DETAILED DESCRIPTION

The disclosed system provides users with a means for identifying andclassifying vehicles based on image data received from a client device,responsive to a scan request from the client device. According tocertain example embodiments, a vehicle identification system may performoperations that include: receiving a scan request that includes an imagethat comprises image data; identifying one or more vehicles within theimage based on the image data based on computer vision and objectrecognition; generating bounding boxes based on the identified vehicles;cropping the image based on one or more of the bounding boxes;classifying a vehicle depicted within the cropped image; and presentinga notification that includes a display of the classification of thevehicle at the client device.

According to certain embodiments, a user may generate a scan request byproviding a tactile input into a graphical user interface (GUI)presented at a client device. For example, the client device may beconfigured to generate and display an image within the GUI based on acamera associated with the client device. The tactile input maytherefore comprise a selection of an object depicted within the image,and may also include one or more input attributes, such as an inputpressure, input pattern, or input duration. In some embodiments,responsive to determining that an attribute of the tactile inputtransgresses a threshold value (i.e., a pressure or duration threshold),the vehicle identification system may generate a scan request thatincludes the image data presented within the GUI. In some embodiments,an icon associated with features of the vehicle identification systemmay be presented among a plurality of icons within a feature carouselpresented within the GUI. A user of the client device may provide aninput to scroll through the plurality of icons, and then responsive toreceiving a selection of the icon associated with the features of thevehicle identification system, the client device may activate a camerato capture image data for a scan request.

The vehicle identification system receives the scan request and performsone or more image recognition techniques to the image data from the scanrequest to identify one or more objects depicted in the image. In someembodiments, the vehicle identification system may be configured todetermine a classification of vehicles which may be depicted within theimage, wherein the classification may include one or more of: a make; amodel year; a model; and a trim level.

In some embodiments, the scan request may include an indication of alocation within the image in which the user provided the tactile input.In such embodiments, the location within the image may be utilized bythe vehicle identification system for the purposes of generating abounding box. Accordingly, the vehicle identification system may performimage recognition upon objects depicted within the bounding box.

Responsive to determining a classification of an object depicted withinan image, the vehicle identification system generates a notificationthat includes a display of the classification, and in some embodimentsmay include information related to the classification. In someembodiments, the vehicle identification system may access informationassociated with the classification from a database, or from one or morethird party servers. For example, the vehicle identification system mayidentify one or more third party servers based on the classification inorder to access relevant information related to the classification.

In an illustrative example of the features of the vehicle identificationsystem, a user of a client device may provide a request to display afeature carousel within a GUI of the client device, wherein the featurecarousel comprises a plurality of graphical icons that correspond withfeatures that may be executed by one or more applications executed bythe client device. Accordingly, the feature carousel may include an iconassociated with the features of the vehicle identification system (e.g.,a “scan tool icon”). Responsive to receiving an input that selects thescan tool icon from among the plurality of icons within the featurecarousel, the vehicle identification system causes display of a scanninginterface within the GUI of the client device, wherein the scanninginterface is configured to present images captured by a cameraassociated with the client device.

A user of the client device may then capture an image using the scantool feature, wherein the image may include a depiction of a vehicle.Responsive to receiving the image via the scan tool, the vehicleidentification system generates a scan request that includes the image,and performs object recognition techniques to identify a classificationof the vehicle depicted in the image, wherein the classificationincludes one or more of a make, a model, a model year, a trim level, andone or more options associated with the vehicle. The vehicleidentification system may then present the classification to the userwithin the GUI in a notification.

The user of the client device may then provide an input that selects thenotification (i.e., taps the notification), and in response, the vehicleidentification system may present additional information related to theclassification within the GUI. For example, the vehicle identificationsystem may reference a database that comprises additional informationassociated with the classification to present the additionalinformation, or in some embodiments, the database may comprise aplurality of addresses (i.e., Uniform Resource Locators (URL)) ofresources associated with the classification. Accordingly, responsive toreceiving the input that selects the notification, the vehicleidentification system may cause a browser associated with the clientdevice, or with the user, to navigate to a resource.

Networked Computing Environment

FIG. 1 is a block diagram showing an example messaging system 100 forexchanging data (e.g., messages and associated content) over a network.The messaging system 100 includes multiple instances of a client device106, each of which hosts a number of applications, including a messagingclient 108. Each messaging client 108 is communicatively coupled toother instances of the messaging client 108 and a messaging serversystem 104 via a network 102 (e.g., the Internet).

A messaging client 108 is able to communicate and exchange data withanother messaging client 108 and with the messaging server system 104via the network 102. The data exchanged between messaging client 108,and between a messaging client 108 and the messaging server system 104,includes functions (e.g., commands to invoke functions) as well aspayload data (e.g., text, audio, video or other multimedia data).

The messaging server system 104 provides server-side functionality viathe network 102 to a particular messaging client 108. While certainfunctions of the messaging system 100 are described herein as beingperformed by either a messaging client 108 or by the messaging serversystem 104, the location of certain functionality either within themessaging client 108 or the messaging server system 104 may be a designchoice. For example, it may be technically preferable to initiallydeploy certain technology and functionality within the messaging serversystem 104 but to later migrate this technology and functionality to themessaging client 108 where a client device 106 has sufficient processingcapacity.

The messaging server system 104 supports various services and operationsthat are provided to the messaging client 108. Such operations includetransmitting data to, receiving data from, and processing data generatedby the messaging client 108. This data may include message content,client device information, geolocation information, media augmentationand overlays, message content persistence conditions, social networkinformation, and live event information, as examples. Data exchangeswithin the messaging system 100 are invoked and controlled throughfunctions available via user interfaces (UIs) of the messaging client108.

Turning now specifically to the messaging server system 104, anApplication Program Interface (API) server 112 is coupled to, andprovides a programmatic interface to, application servers 110. Theapplication servers 110 are communicatively coupled to a database server116, which facilitates access to a database 122 that stores dataassociated with messages processed by the application servers 110.Similarly, a web server 124 is coupled to the application servers 110,and provides web-based interfaces to the application servers 110. Tothis end, the web server 124 processes incoming network requests overthe Hypertext Transfer Protocol (HTTP) and several other relatedprotocols.

The Application Program Interface (API) server 112 receives andtransmits message data (e.g., commands and message payloads) between theclient device 106 and the application servers 110. Specifically, theApplication Program Interface (API) server 112 provides a set ofinterfaces (e.g., routines and protocols) that can be called or queriedby the messaging client 108 in order to invoke functionality of theapplication servers 110. The Application Program Interface (API) server112 exposes various functions supported by the application servers 110,including account registration, login functionality, the sending ofmessages, via the application servers 110, from a particular messagingclient 108 to another messaging client 108, the sending of media files(e.g., images or video) from a messaging client 108 to a messagingserver 114, and for possible access by another messaging client 108, thesettings of a collection of media data (e.g., story), the retrieval of alist of friends of a user of a client device 106, the retrieval of suchcollections, the retrieval of messages and content, the addition anddeletion of entities (e.g., friends) to an entity graph (e.g., a socialgraph), the location of friends within a social graph, and opening anapplication event (e.g., relating to the messaging client 108).

The application servers 110 host a number of server applications andsubsystems, including for example a messaging server 114, an imageprocessing server 118, and a social network server 120. The messagingserver 114 implements a number of message processing technologies andfunctions, particularly related to the aggregation and other processingof content (e.g., textual and multimedia content) included in messagesreceived from multiple instances of the messaging client 108. As will bedescribed in further detail, the text and media content from multiplesources may be aggregated into collections of content (e.g., calledstories or galleries). These collections are then made available to themessaging client 108. Other processor and memory intensive processing ofdata may also be performed server-side by the messaging server 114, inview of the hardware requirements for such processing.

The application servers 110 also include an image processing server 118that is dedicated to performing various image processing operations,typically with respect to images or video within the payload of amessage sent from or received at the messaging server 114.

The social network server 120 supports various social networkingfunctions and services and makes these functions and services availableto the messaging server 114. Examples of functions and servicessupported by the social network server 120 include the identification ofother users of the messaging system 100 with which a particular user hasrelationships or is “following,” and also the identification of otherentities and interests of a particular user.

System Architecture

FIG. 2 is a block diagram illustrating further details regarding themessaging system 100, according to some examples. Specifically, themessaging system 100 is shown to comprise the messaging client 108 andthe application servers 110. The messaging system 100 embodies a numberof subsystems, which are supported on the client-side by the messagingclient 108 and on the sever-side by the application servers 110. Thesesubsystems include, for example, an ephemeral timer system 202, acollection management system 204, an augmentation system 206, a mapsystem 210, a game system 212, and a vehicle identification system 214.

The ephemeral timer system 202 is responsible for enforcing thetemporary or time-limited access to content by the messaging client 108and the messaging server 114. The ephemeral timer system 202incorporates a number of timers that, based on duration and displayparameters associated with a message, or collection of messages (e.g., astory), selectively enable access (e.g., for presentation and display)to messages and associated content via the messaging client 108. Furtherdetails regarding the operation of the ephemeral timer system 202 areprovided below.

The collection management system 204 is responsible for managing sets orcollections of media (e.g., collections of text, image video, and audiodata). A collection of content (e.g., messages, including images, video,text, and audio) may be organized into an “event gallery” or an “eventstory.” Such a collection may be made available for a specified timeperiod, such as the duration of an event to which the content relates.For example, content relating to a music concert may be made availableas a “story” for the duration of that music concert. The collectionmanagement system 204 may also be responsible for publishing an iconthat provides notification of the existence of a particular collectionto the user interface of the messaging client 108.

The collection management system 204 furthermore includes a curationinterface 208 that allows a collection manager to manage and curate aparticular collection of content. For example, the curation interface208 enables an event organizer to curate a collection of contentrelating to a specific event (e.g., delete inappropriate content orredundant messages). Additionally, the collection management system 204employs machine vision (or image recognition technology) and contentrules to automatically curate a content collection. In certain examples,compensation may be paid to a user for the inclusion of user-generatedcontent into a collection. In such cases, the collection managementsystem 204 operates to automatically make payments to such users for theuse of their content.

The augmentation system 206 provides various functions that enable auser to augment (e.g., annotate or otherwise modify or edit) mediacontent associated with a message. For example, the augmentation system206 provides functions related to the generation and publishing of mediaoverlays for messages processed by the messaging system 100. Theaugmentation system 206 operatively supplies a media overlay oraugmentation (e.g., an image filter) to the messaging client 108 basedon a geolocation of the client device 106. In another example, theaugmentation system 206 operatively supplies a media overlay to themessaging client 108 based on other information, such as social networkinformation of the user of the client device 106. A media overlay mayinclude audio and visual content and visual effects. Examples of audioand visual content include pictures, texts, logos, animations, and soundeffects. An example of a visual effect includes color overlaying. Theaudio and visual content or the visual effects can be applied to a mediacontent item (e.g., a photo) at the client device 106. For example, themedia overlay may include text or image that can be overlaid on top of aphotograph taken by the client device 106. In another example, the mediaoverlay includes an identification of a location overlay (e.g., Venicebeach), a name of a live event, or a name of a merchant overlay (e.g.,Beach Coffee House). In another example, the augmentation system 206uses the geolocation of the client device 106 to identify a mediaoverlay that includes the name of a merchant at the geolocation of theclient device 106. The media overlay may include other indiciaassociated with the merchant. The media overlays may be stored in thedatabase 122 and accessed through the database server 116.

In some examples, the augmentation system 206 provides a user-basedpublication platform that enables users to select a geolocation on a mapand upload content associated with the selected geolocation. The usermay also specify circumstances under which a particular media overlayshould be offered to other users. The augmentation system 206 generatesa media overlay that includes the uploaded content and associates theuploaded content with the selected geolocation.

In other examples, the augmentation system 206 provides a merchant-basedpublication platform that enables merchants to select a particular mediaoverlay associated with a geolocation via a bidding process. Forexample, the augmentation system 206 associates the media overlay of thehighest bidding merchant with a corresponding geolocation for apredefined amount of time.

The map system 210 provides various geographic location functions, andsupports the presentation of map-based media content and messages by themessaging client 108. For example, the map system 210 enables thedisplay of user icons or avatars (e.g., stored in profile data 316(deleted)) on a map to indicate a current or past location of “friends”of a user, as well as media content (e.g., collections of messagesincluding photographs and videos) generated by such friends, within thecontext of a map. For example, a message posted by a user to themessaging system 100 from a specific geographic location may bedisplayed within the context of a map at that particular location to“friends” of a specific user on a map interface of the messaging client108. A user can furthermore share his or her location and statusinformation (e.g., using an appropriate status avatar) with other usersof the messaging system 100 via the messaging client 108, with thislocation and status information being similarly displayed within thecontext of a map interface of the messaging client 108 to selectedusers.

The game system 212 provides various gaming functions within the contextof the messaging client 108. The messaging client 108 provides a gameinterface providing a list of available games that can be launched by auser within the context of the messaging client 108, and played withother users of the messaging system 100. The messaging system 100further enables a particular user to invite other users to participatein the play of a specific game, by issuing invitations to such otherusers from the messaging client 108. The messaging client 108 alsosupports both the voice and text messaging (e.g., chats) within thecontext of gameplay, provides a leaderboard for the games, and alsosupports the provision of in-game rewards (e.g., coins and items).

The vehicle identification system 214 provides functions related toscanning, detecting, and classifying vehicles based on a scan requestreceived from a client device, according to certain example embodiments.

FIG. 3 is a flowchart illustrating operations of a vehicleidentification system 214 in performing a method 300 for detecting andclassifying a vehicle based on a scan request received from a clientdevice 106, according to certain example embodiments. Operations of themethod 300 may be performed by one or more subsystems of the messagingsystem 100 described above with respect to FIG. 2 , such as the vehicleidentification system 214. As shown in FIG. 3 , the method 300 includesone or more operations, 302, 304, 306, 308, 310 and 312.

At operation 302, the vehicle identification system 214 receives a scanrequest from a client device 106, wherein the scan request comprisesimage data. For example, the scan request may include an image or videocaptured by a camera of or associated with the client device 106.

In some embodiments, a user of the client device 106 may provide atactile input at the client device 106 in order to initiate one or morefeatures of the vehicle identification system 214. For example, thetactile input may provide an input that selects an icon that correspondswith the vehicle identification system 214, and causes the client device106 to activate a camera associated with the client device 106. The usermay thereby capture an image using the camera.

At operation 304, the vehicle identification system 214 identifies ordetects a vehicles at a location (or locations) within the image basedon the image data. For example, the vehicle identification system 214may perform one or more object recognition techniques in order toidentify one or more objects based on a selected object class.

At operation 306, the vehicle identification system 214 generates abounding box that encompasses the vehicle in the image, based on alocation of the vehicle within the image. In certain embodiments, thebounding box may include a minimum bounding box wherein the minimumbounding box is of a smallest volume possible based on dimensions of thevehicle in the image.

At operation 308, the vehicle identification system 214 crops the imagebased on the bounding box. The resulting cropped image thereforcomprises a portion of the image data that depicts the vehicle.

At operation 310, the vehicle identification system 214 determines aclassification of the vehicle within the bounding box based on thecropped image. In some embodiments, the vehicle identification system214 may apply machine learned model to identify the classification ofthe vehicle, wherein the machine learned model is trained based on atraining dataset that comprises vehicle images that includeclassification data.

At operation 312, the vehicle identification system 214 presents anotification that includes a display of the classification at the clientdevice 106. A notification 610 is depicted in the interface flow diagram600, wherein the notification 610 includes a display of a classification618.

In some embodiments, as depicted in the interface flow diagram 600, thenotification may include a notification 614, wherein the notification614 includes a display of a classification rating 616, wherein theclassification rating 616 comprises a percentage value. For example, thepercentage value may provide an indication of how close a match theimage data is to a given classification.

FIG. 4 is a flowchart illustrating operations of a vehicleidentification system 214 in performing a method 400 for detecting andclassifying a vehicle based on a scan request received from a clientdevice 106, according to certain example embodiments. Operations of themethod 400 may be performed by one or more subsystems of the messagingsystem 100 described above with respect to FIG. 2 , such as the vehicleidentification system 214. As shown in FIG. 4 , the method 400 includesone or more operations 402, 404, and 406 which may be performed as asubroutine of the method 300.

At operation 402, the vehicle identification system 214 identifies aplurality of vehicles based on the image data, in response to receivingthe scan request. For example, the vehicle identification system 214 mayapply one or more object recognition techniques to identify vehiclesdepicted in the image data.

At operation 404, a plurality of bounding boxes are generated based onthe plurality of vehicles, wherein each bounding box among the pluralityof bounding boxes has corresponding properties. In certain embodiments,the bounding boxes may include minimum bonding boxes, wherein theproperties of the bounding boxes are based on the image data. Forexample, the bounding box may be generated based on dimensions of avehicle depicted in the image data.

At operation 406, a bounding box is selected from among the plurality ofbounding boxes based on the property of the bounding box. Or example,the property may include a size of the bounding box, and the vehicleidentification system 214 may select the largest bounding box among theplurality of bounding boxes.

At operation 408, the vehicle identification system 214 crops the imagebased on the selected bounding box. Accordingly, the cropped image maytherefore comprise a portion of the image data that depicts the vehicle.

FIG. 5 is a flowchart illustrating operations of a vehicleidentification system 214 in performing a method 500 for presenting anotification that includes information associated with a vehicle,according to certain example embodiments. Operations of the method 500may be performed by one or more subsystems of the messaging system 100described above with respect to FIG. 2 , such as the vehicleidentification system 214. As shown in FIG. 5 , the method 500 includesone or more operations 502, and 504, that may be performed as asubroutine of the method 300.

At operation 502, the vehicle identification system 214 accessesinformation associated with the vehicle based on the classification. Forexample, the classification may include make and model information, aswell as a model year and trim level of a vehicle.

In some embodiments, the vehicle identification system 214 may referencea database based on the classification, wherein the database comprisesadditional information associated with the classification. For example,the additional information may include make and model information, aswell as a model year and trim level of a vehicle. In some embodiments,the additional information may further comprise addresses (i.a UniformResource Locator (URL)) of one or more third party resources thatinclude data or information associated with the vehicle.

At operation 504, the vehicle identification system 214 presents theinformation associated with the vehicle within the notification. Forexample, as seen in the interface flow diagram 700, additionalinformation 708 may be presented in the interface 704, wherein theadditional information includes information accessed from a third partyresource (i.e., a web site).

For example, responsive to identifying the classification of the vehiclebased on the image data, the vehicle identification system 214 mayaccess a database to determine one or more resources associated with theclassification, wherein the resources are associated with correspondingaddresses. Responsive to determining a resource associated with theclassification, the vehicle identification system 214 may access theresource to retrieve information associated with the classification, orin some embodiments, may cause a browser associated with the clientdevice 106 to navigate to the resource based on the address.

FIG. 6 is an interface flow diagram 600 depicting various interfacespresented by the vehicle identification system 214, according to certainexample embodiments. As seen in FIG. 6 , the interface flow diagram 600includes interfaces 602, 604, and 606.

According to certain embodiments, and as discussed in the method 300depicted in FIG. 3 , a user of a client device 106 may capture imagedata 608 at a client device 106. For example, the vehicle identificationsystem 214 may receive a “scan request” from the client device 106,wherein the scan request comprises the image data 608.

As seen in the interface 604, responsive to receiving the scan request,the vehicle identification system 214 identifies or detects a vehiclebased on the image data 608. For example, the vehicle identificationsystem 214 may perform one or more object recognition techniques inorder to identify one or more objects based on a selected object class.

Responsive to detecting the vehicle based on the image data 608,according to certain embodiments the vehicle identification system 214may present a notification 610, wherein the notification 610 includes adisplay of a classification 618 associated with the vehicle depicted inthe image data 608. In some embodiments, the notification 610 may alsoinclude a display of a rating, wherein the rating comprises a percentagevalue that indicates how close a match the vehicle depicted by the imagedata 608 is to the classification 618.

In some embodiments, as depicted in the interface 606, the vehicleidentification system 214 may present a set of results based on theimage data 608, wherein the set of results comprise a list of possiblematches to the vehicle depicted by the image data 608. For example, asseen in FIG. 6 , the list may comprise a plurality of notifications,such as the notification 612, and the notification 614, wherein eachnotification among the plurality of notifications includes a display ofclassification information, along with additional information associatedwith the classification.

For example, as seen in the interface 606, the vehicle identificationsystem 214 may present a list of most likely match candidates to a userof the client device 106, based on the image data 608, wherein the listof mostly likely match candidates may be ranked or sorted based on acorresponding score, wherein the score includes a percentage value thatindicates a likelihood of a match of the classification to the vehicledepicted by the image data 608.

FIG. 7 is an interface flow diagram 700 depicting various interfacespresented by the vehicle identification system 214, according to certainexample embodiments. As seen in the interface 702 depicted in FIG. 7 ,the vehicle identification system 214 may present a list of possiblematch candidates identified based on image data, such as the image data608 depicted in FIG. 6 .

For example, the list of possible match candidates may be presented as aset of notifications, such as the notification 706, wherein eachnotification among the list of notifications comprises a display ofinformation associated with a possible classification.

As an illustrative example, a user may provide image data, such as theimage data 608, via the client device 106. Responsive to receiving theimage data 608, the vehicle identification system 214 applies one ormore object recognition techniques to identify a vehicle depicted by theimage data 608, and determine one or more classifications based on theidentification of the vehicle. For example, the vehicle identificationsystem 214 may identify a plurality of potential classifications of thevehicle depicted in the image data 608, and may present the plurality ofpotential classifications in the interface 702. In some embodiments, theplurality of potential classifications may be sorted based on acorresponding percentage value, wherein the percentage value indicateshow close a match a given classification is to the image data 608.

For example, as seen in the interface 702, the plurality of potentialclassifications may be presented as a set of notifications, such as thenotification 706, wherein each notification include a display ofadditional information related to the classification.

In some embodiments, a user may provide an input that selects anotification from among the set of notifications (i.e., the notification706), and in response, the vehicle identification system 214 may accessa third party resource that comprises additional information related tothe classification. For example, as seen in the interface 704, theadditional information may include a web-site that comprises additionalinformation related to the classification represented by thenotification 706.

In some embodiments, the vehicle identification system 214 mayautomatically present the interface 704 responsive to determining that acandidate match score transgresses a threshold value. For example,responsive to determining that any one classification is greater than a90% match to image data, the vehicle identification system 214 mayaccess a database that comprises addresses of third party resources thatcomprise additional information related to a classification, and maynavigate a browser of the client device 106 to the address.

As an illustrative example, responsive to identifying a classificationbased on image data provided by a user of the client device 106, thevehicle identification system 214 may access a database to determine anaddress of a resource that comprises additional information related tothe classification. Responsive to determining an address of a resourcethat comprises additional information to the classification, the vehicleidentification system 214 may present the additional information at theclient device 106, as depicted in the interface 704.

For example, in some embodiments, the vehicle identification system 214may cause a browser associated with the client device 106 to navigate tothe resource based on a URL associated with the resource. In someembodiments, the vehicle identification system 214 may present anotification that includes a hyperlink to the resource based on the URLassociated with the resource. A user of the client device 106 mayprovide an input that selects the hyperlink in order to display theadditional content from the resource.

Machine Architecture

FIG. 8 is a diagrammatic representation of the machine 800 within whichinstructions 810 (e.g., software, a program, an application, an applet,an app, or other executable code) for causing the machine 800 to performany one or more of the methodologies discussed herein may be executed.For example, the instructions 810 may cause the machine 800 to executeany one or more of the methods described herein. The instructions 810transform the general, non-programmed machine 800 into a particularmachine 800 programmed to carry out the described and illustratedfunctions in the manner described. The machine 800 may operate as astandalone device or may be coupled (e.g., networked) to other machines.In a networked deployment, the machine 800 may operate in the capacityof a server machine or a client machine in a server-client networkenvironment, or as a peer machine in a peer-to-peer (or distributed)network environment. The machine 800 may comprise, but not be limitedto, a server computer, a client computer, a personal computer (PC), atablet computer, a laptop computer, a netbook, a set-top box (STB), apersonal digital assistant (PDA), an entertainment media system, acellular telephone, a smartphone, a mobile device, a wearable device(e.g., a smartwatch), a smart home device (e.g., a smart appliance),other smart devices, a web appliance, a network router, a networkswitch, a network bridge, or any machine capable of executing theinstructions 810, sequentially or otherwise, that specify actions to betaken by the machine 800. Further, while only a single machine 800 isillustrated, the term “machine” shall also be taken to include acollection of machines that individually or jointly execute theinstructions 810 to perform any one or more of the methodologiesdiscussed herein. The machine 800, for example, may comprise the clientdevice 106 or any one of a number of server devices forming part of themessaging server system 104. In some examples, the machine 800 may alsocomprise both client and server systems, with certain operations of aparticular method or algorithm being performed on the server-side andwith certain operations of the particular method or algorithm beingperformed on the client-side.

The machine 800 may include processors 804, memory 806, and input/outputI/O components 638, which may be configured to communicate with eachother via a bus 840. In an example, the processors 804 (e.g., a CentralProcessing Unit (CPU), a Reduced Instruction Set Computing (RISC)Processor, a Complex Instruction Set Computing (CISC) Processor, aGraphics Processing Unit (GPU), a Digital Signal Processor (DSP), anApplication Specific Integrated Circuit (ASIC), a Radio-FrequencyIntegrated Circuit (RFIC), another processor, or any suitablecombination thereof) may include, for example, a processor 808 and aprocessor 812 that execute the instructions 810. The term “processor” isintended to include multi-core processors that may comprise two or moreindependent processors (sometimes referred to as “cores”) that mayexecute instructions contemporaneously. Although FIG. 8 shows multipleprocessors 804, the machine 800 may include a single processor with asingle-core, a single processor with multiple cores (e.g., a multi-coreprocessor), multiple processors with a single core, multiple processorswith multiples cores, or any combination thereof.

The memory 806 includes a main memory 814, a static memory 816, and astorage unit 818, both accessible to the processors 804 via the bus 840.The main memory 806, the static memory 816, and storage unit 818 storethe instructions 810 embodying any one or more of the methodologies orfunctions described herein. The instructions 810 may also reside,completely or partially, within the main memory 814, within the staticmemory 816, within machine-readable medium 820 within the storage unit818, within at least one of the processors 804 (e.g., within theProcessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 800.

The I/O components 802 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 802 that are included in a particular machine will depend onthe type of machine. For example, portable machines such as mobilephones may include a touch input device or other such input mechanisms,while a headless server machine will likely not include such a touchinput device. It will be appreciated that the I/O components 802 mayinclude many other components that are not shown in FIG. 8 . In variousexamples, the I/O components 802 may include user output components 826and user input components 828. The user output components 826 mayinclude visual components (e.g., a display such as a plasma displaypanel (PDP), a light-emitting diode (LED) display, a liquid crystaldisplay (LCD), a projector, or a cathode ray tube (CRT)), acousticcomponents (e.g., speakers), haptic components (e.g., a vibratory motor,resistance mechanisms), other signal generators, and so forth. The userinput components 828 may include alphanumeric input components (e.g., akeyboard, a touch screen configured to receive alphanumeric input, aphoto-optical keyboard, or other alphanumeric input components),point-based input components (e.g., a mouse, a touchpad, a trackball, ajoystick, a motion sensor, or another pointing instrument), tactileinput components (e.g., a physical button, a touch screen that provideslocation and force of touches or touch gestures, or other tactile inputcomponents), audio input components (e.g., a microphone), and the like.

In further examples, the I/O components 802 may include biometriccomponents 830, motion components 832, environmental components 834, orposition components 836, among a wide array of other components. Forexample, the biometric components 830 include components to detectexpressions (e.g., hand expressions, facial expressions, vocalexpressions, body gestures, or eye-tracking), measure biosignals (e.g.,blood pressure, heart rate, body temperature, perspiration, or brainwaves), identify a person (e.g., voice identification, retinalidentification, facial identification, fingerprint identification, orelectroencephalogram-based identification), and the like. The motioncomponents 832 include acceleration sensor components (e.g.,accelerometer), gravitation sensor components, rotation sensorcomponents (e.g., gyroscope).

The environmental components 834 include, for example, one or cameras(with still image/photograph and video capabilities), illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometers that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment.

With respect to cameras, the client device 106 may have a camera systemcomprising, for example, front cameras on a front surface of the clientdevice 106 and rear cameras on a rear surface of the client device 106.The front cameras may, for example, be used to capture still images andvideo of a user of the client device 106 (e.g., “selfies”), which maythen be augmented with augmentation data (e.g., filters) describedabove. The rear cameras may, for example, be used to capture stillimages and videos in a more traditional camera mode, with these imagessimilarly being augmented with augmentation data. In addition to frontand rear cameras, the client device 106 may also include a 360° camerafor capturing 360° photographs and videos.

Further, the camera system of a client device 106 may include dual rearcameras (e.g., a primary camera as well as a depth-sensing camera), oreven triple, quad or penta rear camera configurations on the front andrear sides of the client device 106. These multiple cameras systems mayinclude a wide camera, an ultra-wide camera, a telephoto camera, a macrocamera and a depth sensor, for example.

The position components 836 include location sensor components (e.g., aGPS receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 802 further include communication components 838operable to couple the machine 800 to a network 822 or devices 824 viarespective coupling or connections. For example, the communicationcomponents 838 may include a network interface Component or anothersuitable device to interface with the network 822. In further examples,the communication components 838 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 824 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 838 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 838 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components838, such as location via Internet Protocol (IP) geolocation, locationvia Wi-Fi® signal triangulation, location via detecting an NFC beaconsignal that may indicate a particular location, and so forth.

The various memories (e.g., main memory 814, static memory 816, andmemory of the processors 804) and storage unit 818 may store one or moresets of instructions and data structures (e.g., software) embodying orused by any one or more of the methodologies or functions describedherein. These instructions (e.g., the instructions 810), when executedby processors 804, cause various operations to implement the disclosedexamples.

The instructions 810 may be transmitted or received over the network822, using a transmission medium, via a network interface device (e.g.,a network interface component included in the communication components838) and using any one of several well-known transfer protocols (e.g.,hypertext transfer protocol (HTTP)). Similarly, the instructions 810 maybe transmitted or received using a transmission medium via a coupling(e.g., a peer-to-peer coupling) to the devices 824.

Software Architecture

FIG. 9 is a block diagram 900 illustrating a software architecture 904,which can be installed on any one or more of the devices describedherein. The software architecture 904 is supported by hardware such as amachine 902 that includes processors 920, memory 926, and I/O components938. In this example, the software architecture 904 can beconceptualized as a stack of layers, where each layer provides aparticular functionality. The software architecture 904 includes layerssuch as an operating system 912, libraries 910, frameworks 908, andapplications 906. Operationally, the applications 906 invoke API calls950 through the software stack and receive messages 952 in response tothe API calls 950.

The operating system 912 manages hardware resources and provides commonservices. The operating system 912 includes, for example, a kernel 914,services 916, and drivers 922. The kernel 914 acts as an abstractionlayer between the hardware and the other software layers. For example,the kernel 914 provides memory management, processor management (e.g.,scheduling), component management, networking, and security settings,among other functionality. The services 916 can provide other commonservices for the other software layers. The drivers 922 are responsiblefor controlling or interfacing with the underlying hardware. Forinstance, the drivers 922 can include display drivers, camera drivers,BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers,serial communication drivers (e.g., USB drivers), WI-FI® drivers, audiodrivers, power management drivers, and so forth.

The libraries 910 provide a common low-level infrastructure used by theapplications 906. The libraries 910 can include system libraries 918(e.g., C standard library) that provide functions such as memoryallocation functions, string manipulation functions, mathematicfunctions, and the like. In addition, the libraries 910 can include APIlibraries 924 such as media libraries (e.g., libraries to supportpresentation and manipulation of various media formats such as MovingPicture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC),Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC),Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group(JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries(e.g., an OpenGL framework used to render in two dimensions (2D) andthree dimensions (3D) in a graphic content on a display), databaselibraries (e.g., SQLite to provide various relational databasefunctions), web libraries (e.g., WebKit to provide web browsingfunctionality), and the like. The libraries 910 can also include a widevariety of other libraries 928 to provide many other APIs to theapplications 906.

The frameworks 908 provide a common high-level infrastructure that isused by the applications 906. For example, the frameworks 908 providevarious graphical user interface (GUI) functions, high-level resourcemanagement, and high-level location services. The frameworks 908 canprovide a broad spectrum of other APIs that can be used by theapplications 906, some of which may be specific to a particularoperating system or platform.

In an example, the applications 906 may include a home application 936,a contacts application 930, a browser application 932, a book readerapplication 934, a location application 942, a media application 944, amessaging application 946, a game application 948, and a broadassortment of other applications such as a third-party application 940.The applications 906 are programs that execute functions defined in theprograms. Various programming languages can be employed to create one ormore of the applications 906, structured in a variety of manners, suchas object-oriented programming languages (e.g., Objective-C, Java, orC++) or procedural programming languages (e.g., C or assembly language).In a specific example, the third-party application 940 (e.g., anapplication developed using the ANDROID™ or IOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform)may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. Inthis example, the third-party application 940 can invoke the API calls950 provided by the operating system 912 to facilitate functionalitydescribed herein.

Processing Components

Turning now to FIG. 10 , there is shown a diagrammatic representation ofa processing environment 1000, which includes a processor 1002, aprocessor 1006, and a processor 1008 (e.g., a GPU, CPU or combinationthereof).

The processor 1002 is shown to be coupled to a power source 1004, and toinclude (either permanently configured or temporarily instantiated)modules, namely an X component 1010, a Y component 1012, and a Zcomponent 1014. The X component 1010 operationally receives scan requestfrom one or more clients devices, the Y component 1012 operationallyidentifies vehicles based on image data in a scan request, and the Zcomponent 1014 operationally classifies the identified vehicles. Asillustrated, the processor 1002 is communicatively coupled to both theprocessor 1006 and the processor 1008.

Glossary

“Carrier signal” refers to any intangible medium that is capable ofstoring, encoding, or carrying instructions for execution by themachine, and includes digital or analog communications signals or otherintangible media to facilitate communication of such instructions.Instructions may be transmitted or received over a network using atransmission medium via a network interface device.

“Client device” refers to any machine that interfaces to acommunications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops,multi-processor systems, microprocessor-based or programmable consumerelectronics, game consoles, set-top boxes, or any other communicationdevice that a user may use to access a network.

“Communication network” refers to one or more portions of a network thatmay be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a Wi-Fi®network, another type of network, or a combination of two or more suchnetworks. For example, a network or a portion of a network may include awireless or cellular network and the coupling may be a Code DivisionMultiple Access (CDMA) connection, a Global System for Mobilecommunications (GSM) connection, or other types of cellular or wirelesscoupling. In this example, the coupling may implement any of a varietyof types of data transfer technology, such as Single Carrier RadioTransmission Technology (1×RTT), Evolution-Data Optimized (EVDO)technology, General Packet Radio Service (GPRS) technology, EnhancedData rates for GSM Evolution (EDGE) technology, third GenerationPartnership Project (3GPP) including 3G, fourth generation wireless (4G)networks, Universal Mobile Telecommunications System (UMTS), High SpeedPacket Access (HSPA), Worldwide Interoperability for Microwave Access(WiMAX), Long Term Evolution (LTE) standard, others defined by variousstandard-setting organizations, other long-range protocols, or otherdata transfer technology.

“Component” refers to a device, physical entity, or logic havingboundaries defined by function or subroutine calls, branch points, APIs,or other technologies that provide for the partitioning ormodularization of particular processing or control functions. Componentsmay be combined via their interfaces with other components to carry outa machine process. A component may be a packaged functional hardwareunit designed for use with other components and a part of a program thatusually performs a particular function of related functions. Componentsmay constitute either software components (e.g., code embodied on amachine-readable medium) or hardware components. A “hardware component”is a tangible unit capable of performing certain operations and may beconfigured or arranged in a certain physical manner. In various exampleembodiments, one or more computer systems (e.g., a standalone computersystem, a client computer system, or a server computer system) or one ormore hardware components of a computer system (e.g., a processor or agroup of processors) may be configured by software (e.g., an applicationor application portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a field-programmable gate array (FPGA) or an applicationspecific integrated circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines (or specific components ofa machine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software), may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component” (or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering embodiments in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In embodiments in which multiple hardwarecomponents are configured or instantiated at different times,communications between such hardware components may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware components have access. Forexample, one hardware component may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware component may then, at alater time, access the memory device to retrieve and process the storedoutput. Hardware components may also initiate communications with inputor output devices, and can operate on a resource (e.g., a collection ofinformation). The various operations of example methods described hereinmay be performed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implementedcomponents that operate to perform one or more operations or functionsdescribed herein. As used herein, “processor-implemented component”refers to a hardware component implemented using one or more processors.Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors 1004 orprocessor-implemented components. Moreover, the one or more processorsmay also operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an API). The performance ofcertain of the operations may be distributed among the processors, notonly residing within a single machine, but deployed across a number ofmachines. In some example embodiments, the processors orprocessor-implemented components may be located in a single geographiclocation (e.g., within a home environment, an office environment, or aserver farm). In other example embodiments, the processors orprocessor-implemented components may be distributed across a number ofgeographic locations.

“Computer-readable storage medium” refers to both machine-storage mediaand transmission media. Thus, the terms include both storagedevices/media and carrier waves/modulated data signals. The terms“machine-readable medium,” “computer-readable medium” and“device-readable medium” mean the same thing and may be usedinterchangeably in this disclosure.

“Ephemeral message” refers to a message that is accessible for atime-limited duration. An ephemeral message may be a text, an image, avideo and the like. The access time for the ephemeral message may be setby the message sender. Alternatively, the access time may be a defaultsetting or a setting specified by the recipient. Regardless of thesetting technique, the message is transitory.

“Machine storage medium” refers to a single or multiple storage devicesand media (e.g., a centralized or distributed database, and associatedcaches and servers) that store executable instructions, routines anddata. The term shall accordingly be taken to include, but not be limitedto, solid-state memories, and optical and magnetic media, includingmemory internal or external to processors. Specific examples ofmachine-storage media, computer-storage media and device-storage mediainclude non-volatile memory, including by way of example semiconductormemory devices, e.g., erasable programmable read-only memory (EPROM),electrically erasable programmable read-only memory (EEPROM), FPGA, andflash memory devices; magnetic disks such as internal hard disks andremovable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks Theterms “machine-storage medium,” “device-storage medium,”“computer-storage medium” mean the same thing and may be usedinterchangeably in this disclosure. The terms “machine-storage media,”“computer-storage media,” and “device-storage media” specificallyexclude carrier waves, modulated data signals, and other such media, atleast some of which are covered under the term “signal medium.”

“Non-transitory computer-readable storage medium” refers to a tangiblemedium that is capable of storing, encoding, or carrying theinstructions for execution by a machine.

“Signal medium” refers to any intangible medium that is capable ofstoring, encoding, or carrying the instructions for execution by amachine and includes digital or analog communications signals or otherintangible media to facilitate communication of software or data. Theterm “signal medium” shall be taken to include any form of a modulateddata signal, carrier wave, and so forth. The term “modulated datasignal” means a signal that has one or more of its characteristics setor changed in such a matter as to encode information in the signal. Theterms “transmission medium” and “signal medium” mean the same thing andmay be used interchangeably in this disclosure.

What is claimed is:
 1. A method comprising: causing display of an imagethat comprises image data at a client device; receiving an input at theclient device, the input comprising an input attribute; determining thatthe input attribute transgresses a threshold value; generating a scanrequest at the client device responsive to the determining that theinput attributes transgresses the threshold value, the scan request animage that comprises image data; identifying a vehicle within the imagebased on the image data; generating a bounding box that encompasses thevehicle in the image; cropping the image based on the bounding box;determining a classification of the vehicle within the bounding boxbased on the cropped image; presenting a notification that includes theclassification at the client device; receiving a selection of thenotification from the client device; accessing content based on theclassification responsive to the selection of the notification; andcausing display of a presentation of the content at the client device.2. The method of claim 1, wherein the identifying the vehicle at theposition within the image includes identifying a plurality of vehicles,the generating the bounding box includes generating a plurality ofbounding boxes, and wherein the cropping the image based on the boundingbox further comprises: selecting the bounding box from among theplurality of bounding boxes based on a property of the bounding box; andcropping the image based on the selected bounding box.
 3. The method ofclaim 2, wherein the property of the bounding box is a size of thebounding box.
 4. The method of claim 1, wherein the identifying thevehicle within the image based on the image data includes: applyingobject recognition to the image data to identify an object based on anobject class; and identifying the vehicle based on the object class andthe object recognition.
 5. The method of claim 1, wherein theclassification of the vehicle includes a make and a model of thevehicle.
 6. The method of claim 5, wherein the presenting thenotification that includes the classification at the client devicefurther comprises: accessing information associated with the vehiclebased on the make and the model of vehicle; and wherein the notificationincludes the classification and the information.
 7. The method of claim1, wherein the determining the classification of the vehicle includesdetermining a set of possible classifications, each classification amongthe set of possible classifications including corresponding ratings, andwherein the notification includes a display of the set of possibleclassifications that includes the corresponding ratings.
 8. The methodof claim 7, wherein the ratings comprise percentage values.
 9. A systemcomprising: a memory; and at least one hardware processor coupled to thememory and comprising instructions that causes the system to performoperations comprising: causing display of an image that comprises imagedata at a client device; receiving an input at the client device, theinput comprising an input attribute; determining that the inputattribute transgresses a threshold value; generating a scan request atthe client device responsive to the determining that the inputattributes transgresses the threshold value, the scan request an imagethat comprises image data; identifying a vehicle within the image basedon the image data; generating a bounding box that encompasses thevehicle in the image; cropping the image based on the bounding box;determining a classification of the vehicle within the bounding boxbased on the cropped image; presenting a notification that includes theclassification at the client device; receiving a selection of thenotification from the client device; accessing content based on theclassification responsive to the selection of the notification; andcausing display of a presentation of the content at the client device.10. The system of claim 9, wherein the identifying the vehicle at theposition within the image includes identifying a plurality of vehicles,the generating the bounding box includes generating a plurality ofbounding boxes, and wherein the cropping the image based on the boundingbox further comprises: selecting the bounding box from among theplurality of bounding boxes based on a property of the bounding box; andcropping the image based on the selected bounding box.
 11. The system ofclaim 10, wherein the property of the bounding box is a size of thebounding box.
 12. The system of claim 9, wherein the identifying thevehicle within the image based on the image data includes: performingobject recognition to the image data; identifying an object thatcorresponds to an object class based on the object recognition; andidentifying the vehicle based on the object class.
 13. The system ofclaim 9, wherein the classification of the vehicle includes a make andmodel of the vehicle.
 14. The system of claim 13, wherein the presentingthe notification that includes the classification at the client devicefurther comprises: accessing information associated with the vehiclebased on the make and the model of the vehicle; and wherein thenotification includes the classification and the information.
 15. Thesystem of claim 9, wherein the determining the classification of thevehicle includes determining a set of possible classifications, eachclassification among the set of possible classifications includingcorresponding ratings, and wherein the notification includes a displayof the set of possible classifications that includes the correspondingratings.
 16. The system of claim 15, wherein the ratings comprisepercentage values.
 17. A non-transitory machine-readable storage mediumcomprising instructions that, when executed by one or more processors ofa machine, cause the machine to perform operations including: causingdisplay of an image that comprises image data at a client device;receiving an input at the client device, the input comprising an inputattribute; determining that the input attribute transgresses a thresholdvalue; generating a scan request at the client device responsive to thedetermining that the input attributes transgresses the threshold value,the scan request an image that comprises image data; identifying avehicle within the image based on the image data; generating a boundingbox that encompasses the vehicle in the image; cropping the image basedon the bounding box; determining a classification of the vehicle withinthe bounding box based on the cropped image; presenting a notificationthat includes the classification at the client device; receiving aselection of the notification from the client device; accessing contentbased on the classification responsive to the selection of thenotification; and causing display of a presentation of the content atthe client device.
 18. The non-transitory machine-readable storagemedium of claim 17, wherein the identifying the vehicle at the positionwithin the image includes identifying a plurality of vehicles, thegenerating the bounding box includes generating a plurality of boundingboxes, and wherein the cropping the image based on the bounding boxfurther comprises: selecting the bounding box from among the pluralityof bounding boxes based on a property of the bounding box; and croppingthe image based on the selected bounding box.
 19. The non-transitorymachine-readable storage medium of claim 18, wherein the property of thebounding box is a size of the bounding box.
 20. The non-transitorymachine-readable storage medium of claim 17, wherein the identifying thevehicle within the image based on the image data includes: performingobject recognition to the image data; identifying an object thatcorresponds to an object class based on the object recognition; andidentifying the vehicle based on the object class.